Minimizing the cost of iterative compilation with active learning.
William F. OgilviePavlos PetoumenosZheng WangHugh LeatherPublished in: CGO (2017)
Keyphrases
- active learning
- active learning strategies
- cost sensitive
- high cost
- supervised learning
- total cost
- machine learning
- selective sampling
- cost reduction
- unlabeled data
- cost savings
- experimental design
- expected cost
- cost sensitive learning
- training examples
- random sampling
- iterative process
- batch mode
- imbalanced data classification
- minimum cost
- real time
- learning strategies
- labeled data
- relevance feedback
- evolutionary algorithm
- training set
- genetic algorithm
- data sets